---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_qa_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/yashwan2003-Jain%20University/huggingface/runs/mkldx3lf)
# my_awesome_qa_model

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1742

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 198  | 0.2250          |
| No log        | 2.0   | 396  | 0.2104          |
| 0.3324        | 3.0   | 594  | 0.2199          |
| 0.3324        | 4.0   | 792  | 0.1904          |
| 0.3324        | 5.0   | 990  | 0.1642          |
| 0.1403        | 6.0   | 1188 | 0.1693          |
| 0.1403        | 7.0   | 1386 | 0.1531          |
| 0.1083        | 8.0   | 1584 | 0.1712          |
| 0.1083        | 9.0   | 1782 | 0.1538          |
| 0.1083        | 10.0  | 1980 | 0.1498          |
| 0.0925        | 11.0  | 2178 | 0.1538          |
| 0.0925        | 12.0  | 2376 | 0.1627          |
| 0.0609        | 13.0  | 2574 | 0.1631          |
| 0.0609        | 14.0  | 2772 | 0.1707          |
| 0.0609        | 15.0  | 2970 | 0.1742          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1